1c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// This file is part of Eigen, a lightweight C++ template library
2c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// for linear algebra.
3c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath//
4c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// Copyright (C) 2007-2009 Benoit Jacob <jacob.benoit.1@gmail.com>
5c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// Copyright (C) 2009-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
6c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath//
7c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// This Source Code Form is subject to the terms of the Mozilla
8c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// Public License v. 2.0. If a copy of the MPL was not distributed
9c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
10c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
11c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#ifndef EIGEN_DIAGONAL_H
12c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#define EIGEN_DIAGONAL_H
13c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
14c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathnamespace Eigen {
15c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
16c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath/** \class Diagonal
17c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * \ingroup Core_Module
18c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
19c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * \brief Expression of a diagonal/subdiagonal/superdiagonal in a matrix
20c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
21c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * \param MatrixType the type of the object in which we are taking a sub/main/super diagonal
22c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * \param DiagIndex the index of the sub/super diagonal. The default is 0 and it means the main diagonal.
23c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *              A positive value means a superdiagonal, a negative value means a subdiagonal.
24c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *              You can also use Dynamic so the index can be set at runtime.
25c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
26c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * The matrix is not required to be square.
27c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
28c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * This class represents an expression of the main diagonal, or any sub/super diagonal
29c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * of a square matrix. It is the return type of MatrixBase::diagonal() and MatrixBase::diagonal(Index) and most of the
30c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * time this is the only way it is used.
31c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
32c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * \sa MatrixBase::diagonal(), MatrixBase::diagonal(Index)
33c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  */
34c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
35c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathnamespace internal {
36c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename MatrixType, int DiagIndex>
37c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathstruct traits<Diagonal<MatrixType,DiagIndex> >
38c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath : traits<MatrixType>
39c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
40c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef typename nested<MatrixType>::type MatrixTypeNested;
41c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef typename remove_reference<MatrixTypeNested>::type _MatrixTypeNested;
42c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef typename MatrixType::StorageKind StorageKind;
43c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  enum {
447faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez    RowsAtCompileTime = (int(DiagIndex) == DynamicIndex || int(MatrixType::SizeAtCompileTime) == Dynamic) ? Dynamic
457faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez                      : (EIGEN_PLAIN_ENUM_MIN(MatrixType::RowsAtCompileTime - EIGEN_PLAIN_ENUM_MAX(-DiagIndex, 0),
467faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez                                              MatrixType::ColsAtCompileTime - EIGEN_PLAIN_ENUM_MAX( DiagIndex, 0))),
47c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    ColsAtCompileTime = 1,
48c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    MaxRowsAtCompileTime = int(MatrixType::MaxSizeAtCompileTime) == Dynamic ? Dynamic
497faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez                         : DiagIndex == DynamicIndex ? EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::MaxRowsAtCompileTime,
50c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath                                                                              MatrixType::MaxColsAtCompileTime)
51c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath                         : (EIGEN_PLAIN_ENUM_MIN(MatrixType::MaxRowsAtCompileTime - EIGEN_PLAIN_ENUM_MAX(-DiagIndex, 0),
52c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath                                                 MatrixType::MaxColsAtCompileTime - EIGEN_PLAIN_ENUM_MAX( DiagIndex, 0))),
53c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    MaxColsAtCompileTime = 1,
54c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    MaskLvalueBit = is_lvalue<MatrixType>::value ? LvalueBit : 0,
55c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    Flags = (unsigned int)_MatrixTypeNested::Flags & (HereditaryBits | LinearAccessBit | MaskLvalueBit | DirectAccessBit) & ~RowMajorBit,
56c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    CoeffReadCost = _MatrixTypeNested::CoeffReadCost,
57c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    MatrixTypeOuterStride = outer_stride_at_compile_time<MatrixType>::ret,
58c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    InnerStrideAtCompileTime = MatrixTypeOuterStride == Dynamic ? Dynamic : MatrixTypeOuterStride+1,
59c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    OuterStrideAtCompileTime = 0
60c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  };
61c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath};
62c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath}
63c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
647faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandeztemplate<typename MatrixType, int _DiagIndex> class Diagonal
657faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez   : public internal::dense_xpr_base< Diagonal<MatrixType,_DiagIndex> >::type
66c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
67c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  public:
68c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
697faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez    enum { DiagIndex = _DiagIndex };
70c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    typedef typename internal::dense_xpr_base<Diagonal>::type Base;
71c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    EIGEN_DENSE_PUBLIC_INTERFACE(Diagonal)
72c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
737faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez    inline Diagonal(MatrixType& matrix, Index a_index = DiagIndex) : m_matrix(matrix), m_index(a_index) {}
74c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
75c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    EIGEN_INHERIT_ASSIGNMENT_OPERATORS(Diagonal)
76c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
77c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    inline Index rows() const
787faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez    { return m_index.value()<0 ? (std::min<Index>)(m_matrix.cols(),m_matrix.rows()+m_index.value()) : (std::min<Index>)(m_matrix.rows(),m_matrix.cols()-m_index.value()); }
79c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
80c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    inline Index cols() const { return 1; }
81c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
82c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    inline Index innerStride() const
83c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
84c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      return m_matrix.outerStride() + 1;
85c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
86c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
87c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    inline Index outerStride() const
88c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
89c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      return 0;
90c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
91c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
92c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    typedef typename internal::conditional<
93c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath                       internal::is_lvalue<MatrixType>::value,
94c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath                       Scalar,
95c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath                       const Scalar
96c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath                     >::type ScalarWithConstIfNotLvalue;
97c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
98c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    inline ScalarWithConstIfNotLvalue* data() { return &(m_matrix.const_cast_derived().coeffRef(rowOffset(), colOffset())); }
99c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    inline const Scalar* data() const { return &(m_matrix.const_cast_derived().coeffRef(rowOffset(), colOffset())); }
100c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
101c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    inline Scalar& coeffRef(Index row, Index)
102c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
103c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      EIGEN_STATIC_ASSERT_LVALUE(MatrixType)
104c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      return m_matrix.const_cast_derived().coeffRef(row+rowOffset(), row+colOffset());
105c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
106c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
107c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    inline const Scalar& coeffRef(Index row, Index) const
108c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
109c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      return m_matrix.const_cast_derived().coeffRef(row+rowOffset(), row+colOffset());
110c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
111c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
112c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    inline CoeffReturnType coeff(Index row, Index) const
113c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
114c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      return m_matrix.coeff(row+rowOffset(), row+colOffset());
115c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
116c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
1177faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez    inline Scalar& coeffRef(Index idx)
118c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
119c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      EIGEN_STATIC_ASSERT_LVALUE(MatrixType)
1207faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez      return m_matrix.const_cast_derived().coeffRef(idx+rowOffset(), idx+colOffset());
121c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
122c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
1237faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez    inline const Scalar& coeffRef(Index idx) const
124c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
1257faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez      return m_matrix.const_cast_derived().coeffRef(idx+rowOffset(), idx+colOffset());
126c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
127c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
1287faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez    inline CoeffReturnType coeff(Index idx) const
129c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
1307faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez      return m_matrix.coeff(idx+rowOffset(), idx+colOffset());
131c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
132c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
133c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    const typename internal::remove_all<typename MatrixType::Nested>::type&
134c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    nestedExpression() const
135c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
136c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      return m_matrix;
137c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
138c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
139c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    int index() const
140c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
141c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      return m_index.value();
142c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
143c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
144c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  protected:
145c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    typename MatrixType::Nested m_matrix;
1467faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez    const internal::variable_if_dynamicindex<Index, DiagIndex> m_index;
147c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
148c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  private:
149c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    // some compilers may fail to optimize std::max etc in case of compile-time constants...
150c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    EIGEN_STRONG_INLINE Index absDiagIndex() const { return m_index.value()>0 ? m_index.value() : -m_index.value(); }
151c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    EIGEN_STRONG_INLINE Index rowOffset() const { return m_index.value()>0 ? 0 : -m_index.value(); }
152c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    EIGEN_STRONG_INLINE Index colOffset() const { return m_index.value()>0 ? m_index.value() : 0; }
153c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    // triger a compile time error is someone try to call packet
154c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    template<int LoadMode> typename MatrixType::PacketReturnType packet(Index) const;
155c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    template<int LoadMode> typename MatrixType::PacketReturnType packet(Index,Index) const;
156c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath};
157c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
158c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath/** \returns an expression of the main diagonal of the matrix \c *this
159c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
160c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * \c *this is not required to be square.
161c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
162c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * Example: \include MatrixBase_diagonal.cpp
163c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * Output: \verbinclude MatrixBase_diagonal.out
164c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
165c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * \sa class Diagonal */
166c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename Derived>
167c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathinline typename MatrixBase<Derived>::DiagonalReturnType
168c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan KamathMatrixBase<Derived>::diagonal()
169c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
170c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  return derived();
171c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath}
172c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
173c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath/** This is the const version of diagonal(). */
174c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename Derived>
1757faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandezinline typename MatrixBase<Derived>::ConstDiagonalReturnType
176c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan KamathMatrixBase<Derived>::diagonal() const
177c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
178c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  return ConstDiagonalReturnType(derived());
179c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath}
180c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
181c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath/** \returns an expression of the \a DiagIndex-th sub or super diagonal of the matrix \c *this
182c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
183c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * \c *this is not required to be square.
184c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
185c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * The template parameter \a DiagIndex represent a super diagonal if \a DiagIndex > 0
186c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * and a sub diagonal otherwise. \a DiagIndex == 0 is equivalent to the main diagonal.
187c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
188c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * Example: \include MatrixBase_diagonal_int.cpp
189c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * Output: \verbinclude MatrixBase_diagonal_int.out
190c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
191c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * \sa MatrixBase::diagonal(), class Diagonal */
192c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename Derived>
1937faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandezinline typename MatrixBase<Derived>::template DiagonalIndexReturnType<DynamicIndex>::Type
194c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan KamathMatrixBase<Derived>::diagonal(Index index)
195c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
1967faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez  return typename DiagonalIndexReturnType<DynamicIndex>::Type(derived(), index);
197c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath}
198c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
199c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath/** This is the const version of diagonal(Index). */
200c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename Derived>
2017faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandezinline typename MatrixBase<Derived>::template ConstDiagonalIndexReturnType<DynamicIndex>::Type
202c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan KamathMatrixBase<Derived>::diagonal(Index index) const
203c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
2047faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez  return typename ConstDiagonalIndexReturnType<DynamicIndex>::Type(derived(), index);
205c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath}
206c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
207c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath/** \returns an expression of the \a DiagIndex-th sub or super diagonal of the matrix \c *this
208c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
209c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * \c *this is not required to be square.
210c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
211c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * The template parameter \a DiagIndex represent a super diagonal if \a DiagIndex > 0
212c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * and a sub diagonal otherwise. \a DiagIndex == 0 is equivalent to the main diagonal.
213c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
214c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * Example: \include MatrixBase_diagonal_template_int.cpp
215c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * Output: \verbinclude MatrixBase_diagonal_template_int.out
216c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  *
217c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  * \sa MatrixBase::diagonal(), class Diagonal */
218c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename Derived>
219c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<int Index>
220c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathinline typename MatrixBase<Derived>::template DiagonalIndexReturnType<Index>::Type
221c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan KamathMatrixBase<Derived>::diagonal()
222c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
223c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  return derived();
224c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath}
225c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
226c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath/** This is the const version of diagonal<int>(). */
227c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename Derived>
228c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<int Index>
229c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathinline typename MatrixBase<Derived>::template ConstDiagonalIndexReturnType<Index>::Type
230c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan KamathMatrixBase<Derived>::diagonal() const
231c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
232c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  return derived();
233c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath}
234c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
235c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath} // end namespace Eigen
236c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
237c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#endif // EIGEN_DIAGONAL_H
238